New Study Uses Positive-Unlabeled Learning to Adapt Geospatial Foundation Models for Building Damage Mapping

A new arXiv paper proposes adapting geospatial foundation models via positive-unlabeled learning for label-efficient building damage mapping in remote sensing.

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Timeline · 1 report

1. 2026-11-09 05:00 · arXiv cs.CV
   Towards Label-Efficient Geospatial Foundation Model Adaptation via Positive-Unlabeled Learning for Building Damage Mapping